Linguistic accuracy is not the only thing that matters in translation. Each document has its peculiar format and design that should be preserved. This is exactly what DTP deals with: margins, headers, text blocks, uneditable images, tables... and so much more.
It’s extremely important to meet the public’s expectations respecting functionality, price, and… presentation. For customers, the better a product is presented, the more reliable a company is. Making a great input into the company’s image on foreign markets, translation quality must be assured.
Normally, accurate translations require efforts of three different people: a translator, an editor, and a proofreader. Still, can it be just one person? The answer is yes, but in this case, the quality is unlikely to be excellent.
In each job, there are some days you feel completely satisfied with what you do, and tough times you’re fully frustrated. Interpretation is no exception.
Interpretation is much bigger than just being fluent in a foreign language. Everywhere from healthcare to international business, interpreters build cultural and linguistic connections transmitting ideas.
How often do people from all over the world struggle with having websites translated into their local native languages? Especially if they don’t speak English? About a year ago, Amazon announced that it would add 22 new “rare” languages into its translation service. This news reflects an overall trend: growing numbers of such languages are being involved in automatic translation.
2020 has certainly brought a series of changes to the way we live and work. These changes mark predominant translation industry trends for 2021.
Localization is a process of content transformation with a focus on local peculiarities. There are two key types of localization: the first one is closely bound to translation, and the second one includes changing content type to make your offer attractive for every market.
Nowadays, every part of our life faces transformation – the translation industry is not an exception. Machine translation, with its history dating back to 1949, has undergone significant changes in the last few years.
